{"id":"W1820841059","doi":"10.1111/ceo.12152","title":"Genomics and anterior segment dysgenesis: a review","year":2013,"lang":"en","type":"review","venue":"Clinical and Experimental Ophthalmology","topic":"Glaucoma and retinal disorders","field":"Medicine","cited_by":120,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Dysgenesis; Anterior Eye Segment; Trabecular meshwork; Glaucoma; Medicine; IRIS (biosensor); Genetics; Bioinformatics; Anatomy; Cornea; Biology; Ophthalmology; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002704104,0.0004566966,0.003145104,0.00006219512,0.00006724605,0.00001586924,0.0001136124,0.0004945604,0.0005199137],"category_scores_gemma":[0.00005724651,0.0003013169,0.0005338433,0.00007071388,0.0006060698,0.00002710166,0.0002976955,0.0003977038,0.0001692668],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003131288,"about_ca_system_score_gemma":0.0001064816,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000153665,"about_ca_topic_score_gemma":6.271493e-8,"domain_scores_codex":[0.9974282,0.0002576126,0.00121753,0.0006849137,0.00009996675,0.0003117863],"domain_scores_gemma":[0.9988417,0.0001482349,0.0002808987,0.0003202078,0.00002519904,0.000383783],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001117104,0.0008846188,0.002205309,0.07385144,0.0006376351,0.001227989,0.00003664395,4.58875e-10,0.00003194485,0.00002663145,0.002355392,0.9186307],"study_design_scores_gemma":[0.001078456,0.002259938,0.0007476821,0.03630507,0.001595833,0.02618809,0.00007507404,0.000001148707,0.000005583234,0.00001513749,0.931267,0.0004609684],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.03130194,0.9657271,2.182177e-7,0.0002064007,0.0003745137,0.001642673,0.000009743108,0.00001981158,0.0007176247],"genre_scores_gemma":[0.0002443666,0.9973025,0.0003210882,0.0007801038,0.000172966,0.0002728115,0.00005804731,0.00004942426,0.0007987019],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9289116,"threshold_uncertainty_score":0.9999439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1024333825995957,"score_gpt":0.4432923158152789,"score_spread":0.3408589332156832,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}